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Updated: May 6, 2026

Assessment of Dendritic Arborization in the Dentate Gyrus of the Hippocampal Region in Mice

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Published on: March 31, 2015

Toothy: an interactive platform for dentate spike curation.

Amanda L Schott^1,2, Kathleen N Esfahany^1,2,3, Julia M Grocott^1,2

¹F.M. Kirby Neurobiology Center, Boston Children's Hospital, Boston, MA, USA.

Biorxiv : the Preprint Server for Biology

|November 19, 2025

Summary

This summary is machine-generated.

Researchers developed Toothy, an open-source tool for detecting and classifying dentate spikes (DSs) in the hippocampus. This standardized pipeline aids in understanding neural dynamics and memory encoding during different arousal states.

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Published on: September 9, 2020

Area of Science:

Neuroscience
Computational Neuroscience

Background:

Dentate spikes (DSs) are hippocampal population events occurring during low-arousal states.
DSs are classified into two types (DS1 and DS2), with DS2 associated with memory encoding.
A standardized method for DS detection and classification is currently lacking.

Purpose of the Study:

To introduce Toothy, an open-source software tool for the detection and classification of DSs in large-scale electrophysiological recordings.
To provide a standardized and reproducible pipeline for analyzing hippocampal population events.

Main Methods:

Toothy utilizes a three-step workflow: LFP recording ingestion/preprocessing, hippocampal event detection, and DS type classification via CSD profiles.
The tool supports multiple recording formats and offers customizable parameters and interactive review.
Toothy can also detect sharp wave-ripples (SPW-Rs) for comparative analysis.

Main Results:

Toothy provides a robust and flexible platform for DS detection and classification.
The tool enables reproducible analysis of hippocampal dynamics.
Facilitates comparative studies between DSs and SPW-Rs.

Conclusions:

Toothy offers a standardized, reproducible pipeline for DS detection and classification.
This tool advances research into hippocampal dynamics and memory encoding.
Enables broader investigation of neural population events across diverse research settings.